π B.Tech Final Year | Electronics and Communication Engineering (ECE) | ML for Signal Processing π‘ Machine Learning | Signal Processing | OFDM Communication | FPGA Design π India
I'm a passionate engineer with a strong foundation in Machine Learning, Signal Processing, and Wireless Communication. My work involves designing and implementing advanced techniques for improving communication systems' efficiency and performance.
πΉ Currently working on an ML-based PAPR Reduction project for OFDM Communication πΉ Experienced in MATLAB and Python for signal processing and AI modeling πΉ Strong background in Digital Circuit Design and FPGA Development using Xilinx Vivado
Designed and simulated various PAPR reduction techniques like Clipping + Airy Companding, Β΅-law Companding, and PTS in MATLAB. Integrated Deep Learning for optimal PAPR reduction. Evaluated under Rayleigh, Rician, and Nakagami channel conditions with 8-PSK and 16-QAM modulation.
Developed a URL classification model using Gradient Boosting with 32 features, achieving 91% accuracy. Built an interactive front-end for real-time classification.
Performed crop health classification using NDVI and GNDVI metrics. Achieved 95% accuracy using a Random Forest Classifier.